This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon’s point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.

Table of Contents

CHAPTER 1

PART I PRELIMINARIES

CHAPTER 2 Information Measures and Typicality

CHAPTER 3 Point-to -Point Information Theory

PART II SINGLE-HOP NETWORKS

CHAPTER 4 Multiple Access Channels

CHAPTER 5 Degraded Broadcast Channels

CHAPTER 6 Interference Channels

CHAPTER 7 Channels with State

CHAPTER 8 General Broadcast Channels

CHAPTER 9 Gaussian Vector Channels

CHAPTER 10 Distributed Lossless Compression

CHAPTER 11 Lossy Compression with Side Information

CHAPTER 12 Distributed Lossy Compression

CHAPTER 13 Multiple Description Coding

CHAPTER 14 Joint Source- Channel Coding

PART Ill MULTI HOP NETWORKS

CHAPTER 15 Graphical Networks

CHAPTER 16 Relay Channels

CHAPTER 17 Interactive Channel Coding

CHAPTER 18 Discrete Memoryless Networks

CHAPTER 19 Gaussian Networks

CHAPTER 20 Compression over Graphical Networks

PART IV EXTENSIONS

CHAPTER 21 Communication for Computing

CHAPTER 22 Information Theoretic Secrecy

CHAPTER 23 Wireless Fading Channels

CHAPTER 24 Networking and Information Theory

About the Authors

Abbas El Gamal is the Hitachi America Chaired Professor in the School of Engineering and the Chair of the Department of Electrical Engineering at Stanford University, California. In the field of network information theory, he is best known for his seminal contributions to the relay, broadcast, and interference channels; multiple description coding; coding for noisy networks; and energy-efficient packet scheduling and throughput-delay tradeoffs in wireless networks. He is a Fellow of the Institute of Electrical and Electronics Engineers and the winner of the 2012 Claude E. Shannon Award, the highest honor in the field of information theory.

Young-Han Kim is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. His research focuses on information theory and statistical signal processing. He is a recipient of the 2012 Institute of Electrical and Electronics Engineers Information Theory Paper Award and the 2008 National Science Foundation Faculty Early Career Development (CAREER) Award.